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Zn-catalytic growth and photoluminescence properties of branched MgO nanostructures

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Rare Metals 2006年第1期25卷 74-78页

作者： SU Yong HE Zhaoyuan CHEN Yiqing cai Dong College of Materials Science and Engineering Hefei University of Technology Hefei 230009 China

Mass production of uniform MgO nanostructures has been achieved by a thermal evaporation method. X-ray diffraction （XRD） analyses show the product is composed of pure single-crystalline MgO. Scanning electron microscopy （SEM） and transmission elecwon microscopy （TEM） characterizations show that the MgO branched nanostructures consist of many sfim nanowires growing from the thick MgO rods. The as-synthesized nanowires have a length of several tens of microns and a diameter of several tens of nanometers. The preferred growth direction of the nanowires is [001]. Many nanowires are found to have a dendritic structure and temperature grade is thought to be the main cause of the growth of this structure. Zn nanoparticles scattered on the surface of the MgO rods are thought to be the catalyst of the VLS （vapor-liquid-solid） growth of the MgO nanowires. Room-temperature photoluminescence measurements show that the synthesized MgO nanostructures have a strong emission band at 401 nm and a weak emission band at 502 nm.

关键词： inorganic nonmetallic material preparation characterization thermal evaporation MgO nanostructures

Aptamer-Based Antibiotic Electrochemical Detection Platform Using Portable Plastic Gold Electrode and Multichannel Chip

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Chinese Journal of Chemistry 2024年第2期42卷 171-176页

作者： Yin Bao Kaiwei cai Yichen Liu Bingling Li Changchun Institute of Applied Chemistry Chinese Academy of SciencesChangchunJilin 130022China School of Applied Chemistry and Engineering University of Science and Technology of ChinaHefeiAnhui 230026China

The development of accurate,rapid and practical electrochemical sensing technology for antibiotic detection has an important application prospect in many fields such as food safety,environmental monitoring,medical and health *** this research,kanamycin specific DNA aptamer and its partially complementary short chain were self-assembled onto the surface of an integrated portable plastic gold electrode(PGE)by Au-s bond,and a simple kanamycin electrochemical biosensor interface was *** the same time,the epoxy resin channel layer was designed,and the auxiliary instrument was set up independently in the laboratory,which could help to measure and analyze eight groups of samples automatically in *** quantitative analysis results showed that in 20 min,the sensor had a good linear relationship between the peak current change of square wave voltammetry and the negative logarithm of kanamycin concentration when kanamycin concentration was in the range of 1-10o0μmol/L,and the detection limit could reach 0.40μmol/*** addition,the discrimination could be achieved within 5 min in the real-time analysis *** sensor had a simple construction method,good selectivity and stability,and could be used for rapid or real-time detection of kanamycin residues in actual water samples,which provided a new direction for the practical detection of kanamycin in environmental watersamples.

关键词： Biosensor Aptamer Antibiotics Electroanalysis DNA

EEG-based Emotion Recognition Using Multiple Kernel Learning

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Machine Intelligence Research 2022年第5期19卷 472-484页

作者： Qian cai Guo-Chong Cui Hai-Xian Wang School of Statistics and Data Science Nanjing Audit UniversityNanjing 211815China Key Laboratory of Child Development and Learning Science of Ministry of Education School of Biological Science&Medical EngineeringSoutheast UniversityNanjing 210096China Institute of Artificial Intelligence of Hefei Comprehensive National Science Center Hefei 230094China

Emotion recognition based on electroencephalography(EEG)has a wide range of applications and has great potential value,so it has received increasing attention from academia and industry in recent ***,multiple kernel learning(MKL)has also been favored by researchers for its data-driven convenience and high ***,there is little research on MKL in EEG-based emotion ***,this paper is dedicated to exploring the application of MKL methods in the field of EEG emotion recognition and promoting the application of MKL methods in EEG emotion ***,we proposed a support vector machine(SVM)classifier based on the MKL algorithm EasyMKL to investigate the feasibility of MKL algorithms in EEG-based emotion recognition *** designed two data partition methods,random division to verify the validity of the MKL method and sequential division to simulate practical ***,tri-categorization experiments were performed for neutral,negative and positive emotions based on a commonly used dataset,the Shanghai Jiao Tong University emotional EEG dataset(SEED).The average classification accuracies for random division and sequential division were 92.25%and 74.37%,respectively,which shows better classification performance than the traditional single kernel *** final results show that the MKL method is obviously effective,and the application of MKL in EEG emotion recognition is worthy of further *** the analysis of the experimental results,we discovered that the simple mathematical operations of the features on the symmetrical electrodes could not effectively integrate the spatial information of the EEG signals to obtain better *** is also confirmed that higher frequency band information is more correlated with emotional state and contributes more to emotion *** summary,this paper explores research on MKL methods in the field of EEG emotion recognition and provides a new way of thinking for EE

关键词： Emotion recognition electroencephalography(EEG) multiple kernel learning machine learning brain computer interface

Spatiotemporal Characteristics and Future Scenario Simulation of the Trade-offs and Synergies of Mountain Ecosystem Services: A Case Study of the Dabie Mountains Area, China

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Chinese Geographical Science 2023年第1期33卷 144-160页

作者： FANG Lin LIU Yanxiao LI Canfeng cai Jun School of Economics and Management Anhui Agriculture UniversityHefei 230036China School of Geographical Sciences Northeast Normal UniversityChangchun 130024China Kunming Comprehensive Survey Center of Natural Resources China Geological SurveyKunming 650100China

Mountain ecosystems play an essential role in supporting regional sustainable development and improving local ecological environments. However, economic development in mountainous areas has long been lagging, and multiple conflicts related to resource assurance, ecological protection, and economic development have emerged. An accurate grasp of the current status and evolutionary trends of mountain ecosystems is essential to enhance the overall benefits of ecosystem services and maintain regional ecological security. Based on the In VEST(Integrated Valuation of Ecosystem Services and Trade-offs) model, this study analyzed the spatiotemporal evolution patterns and the trade-offs and synergies among ecosystem services(ES) in the Dabie Mountains Area(DMA) of eastern China. The Markov-PLUS(Patch-generating Land Use Simulation) model was used to conduct a multi-scenario simulation of the area's future development. Water yield(WY) and soil conservation(SC) had overall increasing trends during 2000-2020, carbon storage(CS)decreased overall but slowed with time, and habitat quality(HQ) increased and then decreased. The ecological protection scenario is the best scenario for improving ES in the DMA by 2030;compared to 2020, the total WY would decrease by 3.77 × 10^(8) m^(3), SC would increase by 0.65 × 10^(6) t, CS would increase by 1.33 × 10^(6) t, and HQ would increase by 0.06%. The comprehensive development scenario is the second-most effective scenario for ecological improvement, while the natural development scenario did not have a significant effect. However, as the comprehensive development scenario considers both environmental protection and economic development, which are both vital for the sustainable development of the mountainous areas, this scenario is considered the most suitable path for future development. There are trade-offs between WY, CS, and HQ, while there are synergies between SC, CS, and HQ. Spatially, the DMA's central core district is the main strong

关键词： ecosystem services trade-offs InVEST(Integrated Valuation of Ecosystem Services and Trade-offs)model PLUS(Patchgenerating Land Use Simulation)model scenario projection Dabie Mountains China

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Finite-time decentralized event-triggered state estimation for coupled neural networks under unreliable Markovian network against mixed cyberattacks

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Chinese Physics B 2024年第11期33卷 175-183页

作者： Xiulin Wang Youzhi cai Feng Li School of Electrical and Information Engineering Anhui University of TechnologyMaanshan 243032China

This article investigates the issue of finite-time state estimation in coupled neural networks under random mixed cyberattacks,in which the Markov process is used to model the mixed *** optimize the utilization of channel resources,a decentralized event-triggered mechanism is adopted during the information *** establishing the augmentation system and constructing the Lyapunov function,sufficient conditions are obtained for the system to be finite-time bounded and satisfy the H∞ performance ***,under these conditions,a suitable state estimator gain is ***,the feasibility of the method is verified by a given illustrative example.

关键词： Markov jump systems coupled neural networks decentralized event-triggered mechanism finite-time state estimation

Robust Nonsingular Fixed Time Terminal Sliding Mode Control for Atmospheric Pollution Detection Lidar Scanning Mechanism

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Journal of Systems Science & Complexity 2023年第2期36卷 500-523页

作者： KANG Yu YANG Yuxiao CHEN cai LüWenjun ZHAO Yunbo Department of Automation University of Science and Technology of ChinaHefei 230027China Institute of Advanced Technology University of Science and Technology of ChinaHefei 230027China State Key Laboratory of Fire Science University of Science and Technology of ChinaHefei 230027China

A robust nonsingular fixed time terminal sliding mode control scheme with a time delay disturbance observer is proposed for atmospheric pollution detection lidar scanning mechanism(APDL-SM)*** from the conventional terminal sliding mode control methods,the authors design a novel fixed-time terminal sliding surface,the convergence time of sliding mode phase of which has a constant upper bound that is designable by adjusting only one ***,in order to overcome the problem of unknown upper bound of lumped uncertainty including model uncertainty,friction effect and external disturbances from the port environment,the authors propose a time delay disturbance observer to provide an estimation for the system lumped *** using the Lyapunov synthesis,the explicit analysis of the convergence time upper bound are ***,simulation studies are conducted on the APDL-SM system to show the fast convergence rate and strong robustness of the proposed control scheme.

关键词： Atmospheric pollution detection lidar fixed time terminal sliding mode time delay disturbance observer tracking control

THE EFFECT OF MOXIBUSTION ON THE KIDNEY FUNCTION OF THE PATIENT WITH EPIDEMIC HEMORRHAGIC FEVER (EHF)

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World Journal of Acupuncture-Moxibustion 1992年第1期2卷 17-19页

作者： Song Xiaoge Tang Zhaoliang Zhou Meisheng cai Shengchao Zhang Fuqing, Institute of Acupuncture and Meridian, anhui College of TCM, Hefei 230038, China

In this paper, we observed the effect of moxibustion on the positive reactionin uroprotein test, the time of hypouresis and the change of B-mode echography of kidney of thepatient with EHF. We measured the change of BUN content in serum of the rat infected withEHF virus (EHFV) before and after moxibustion. Results showed moxibustion could shortenthe time of hypouresis, promote the removal of positive reaction in the uroprotein test, decreasethe content of BUN in serum and reduce the swelling of kidney. All these results suggested thatmoxibustion might have the effect on protecting kidney function in some degree.

关键词： moxibustion 灸法治疗 swelling protecting 实验研究进展周楣声 needle meridian infected shortened

Multi-channel Sliced Deep RCNN with Residual Network for Text Classification

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Chinese Journal of Electronics 2020年第5期29卷 880-886页

作者： ZHOU Chuanhua ZHOU Jiayi YU cai ZHAO Wei PAN Ruilin School of Management Science and Engineering Anhui University of Technology Graduate School of Information Production and Systems Waseda University School of Computer Science and Technology Anhui University of Technology

We propose a multi-channel sliced deep Recurrent convolutional neural network(RCNN) with a residual network. We expand the RCNN into a deep neural network. Our proposed model can directly learn to extract bigram features and other features from sentences where other machine learning methods cannot. The experimental results indicate that our model outperforms the traditional methods.

关键词： RCNN Text classification Bigram Multichannel Deep neural network Residual network

Early diagnostic strategies for colorectal cancer

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World Journal of Gastroenterology 2024年第33期30卷 3818-3822页

作者： Shi-cai Liu Han Zhang School of Medical Information Wannan Medical CollegeWuhu 241002Anhui ProvinceChina School of Basic Medical Sciences Wannan Medical CollegeWuhu 241002Anhui ProvinceChina

At present,cancer is still an important factor threatening human *** cancer(CRC)is one of the top three most common cancers worldwide and one of the deadliest malignancies in *** latest data showed that CRC incidence and mortality rank third and second,respectively,among global *** and accurate diagnosis is crucial to reduce the morbidity,mortality and improve survival of patients with CRC,but the current early diagnostic methods have *** effectiveness and compliance of diagnostic methods have a certain impact on whether people choose *** this editorial,we explore strategies for the early diagnosis of CRC,including stool-based,blood-based,direct visualization,and imaging examinations.

关键词： Colorectal cancer Diagnostic markers Colonoscopy Fecal immunochemical test Fecal occult blood test Circulating tumor cells Circulating tumor DNA